AI Engineer
November 8
Description
• Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. • Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. • Implementing AI solutions that integrate seamlessly with existing business systems to enhance functionality and user interaction. • Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various level. • ADVANCED CONVERSATIONAL ENGLISH ESSENTIAL (Will be evaluated).
Requirements
• 4+ years of experience in Data Science and Machine Learning. • Proficiency in programming languages such as Python and experience with modern software development tools (e.g. Git, Docker). • Experience with generative AI Agents and LLM Frameworks (AutoGen - preJered, CrewAI, LangChain, LlamaIndex) and prompt engineering. • In-depth knowledge of machine learning, deep learning, NLP techniques. • Experience with cloud platforms, preferred Azure. • Strong problem-solving and analytical skills, with the ability to innovate in a fast-paced environment. • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Benefits
• Excellent superior benefits.
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